Space situational awareness platform for debris tracking and collision avoidance
Aldoria monitors space debris, satellites, and defunct spacecraft to help operators avoid on-orbit collisions. The tech stack—Python, Java, SQL, Pandas, SolidWorks—reflects a hybrid engineering culture: data processing and simulation work alongside CAD-driven propulsion and sensor design. Hiring is accelerating across engineering, research, and sales (6 roles posted in the last 30 days), with intern-heavy recruitment suggesting they're building foundational teams in Paris rather than scaling an existing unit.
Aldoria is a Paris-based space situational awareness company founded in 2017. The platform ingests optical sensor data, processes it through simulation and catalog systems, and delivers collision-avoidance predictions to satellite operators and space agencies. Core functions include atmospheric break-up modeling, observation campaign scheduling, and orbital constellation design. The 51–200-person team is split between engineering and research (simulation, sensor validation), commercial sales, and internal data operations—a structure typical of hard-tech companies bridging physics, software, and operator workflows.
Python, Java, SQL, Pandas, and Matplotlib for data processing; SolidWorks for propulsion and sensor design; Jira, Confluence, and Microsoft Project for project management.
Active projects include observation strategy evaluation, space situational awareness catalog maintenance, telescope validation simulation, collision-avoidance scheduling, and operational deployment of improved monitoring strategies.
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